Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of the Modelica building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a
-
membrane electrode assemblies (MEAs) for electrochemical characterization Physical, spectroscopic, and electrochemical characterization of MEAs prior to, during, and after operation Participation in project
-
well as in fuel cells. Your tasks in detail: Manufacturing of catalyst layers and membrane electrode assemblies (MEAs) for electrochemical characterization Physical, spectroscopic, and electrochemical
-
science, physics or a comparable field of study Background knowledge and proven interest in the field of electrochemistry Fluent in spoken and written German as well as English Willingness to get familiar
-
: Scientific and/or technical background (physics / electrical engineering etc.) Good grades in the current Master`s programme Good knowledge of English and German High degree of independence and effective way
-
-scale datasets Implement parallel ML training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks for self
-
) for scientific and large-scale datasets Implement parallel ML training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks
-
testing of the catalysts’ OER performance and durability Your Profile: Undergraduate education with excellent marks in Material Science, Physics, Engineering or Chemistry Basic knowledge of electrochemistry
-
Your Job: Efficient catalyst materials hold the key for a breakthrough in future energy conversion and storage. The carbon dioxide reduction reaction (CO2RR) is an important process for
-
PhD Position - Modeling and simulation of memristive devices for application in neuromorphic systems
Your Job: The aim of this doctoral project is to develop physical simulation models for memristive devices. In particular, a compact model that describes the switching behavior of gradual switching